“I have worked with Mario way back in 2010 and it was a great experience for me at that early stages of my career. He is a great mentor and leader who helped the entire project team to successfully deliver the commitments with quality work. Mario is a consistent leader and manager who has abilities to drive the business teams with ease and reach new heights to the overall business goals. He is a fun loving person as well which makes it easier to work along as well :)I Wish him a great successfull career!”
About
Services
Activity
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Infrastructure Technical Program Managers (TPMs) are the quiet powerhouses of cloud giants like AWS, Azure, Google Cloud Platform, and Oracle Cloud…
Infrastructure Technical Program Managers (TPMs) are the quiet powerhouses of cloud giants like AWS, Azure, Google Cloud Platform, and Oracle Cloud…
Shared by Mario Gerard
Experience & Education
Licenses & Certifications
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AWS Certified Solution Architect - Associate Level
Amazon Web Services
IssuedCredential ID AWS-ASA-26048 -
Project Management Professional (PMP)
Project Management Institute
Issued ExpiresCredential ID 1422986 -
Information Technology Infrastructure Library (ITIL) v3 Foundation
BCS, The Chartered Institute for IT
Credential ID SR2603474
Volunteer Experience
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Director of Operations & Technology for Puget Sound PMI
Puget Sound PMI
- 1 year 1 month
Science and Technology
Designed, Developed and maintained a new website for the Puget Sound PMI Chapter.
Publications
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A New Kind of Program Manger
PM Network - The PMI Monthly Magazine
A different role emerges to guide complex software projects.
Patents
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Software Preference Affinity Recommendation Systems and Methods Using Machine Learning
Issued US US9898466B2, US 20180189286 A1
The present systems and methods involve obtaining historical usage data associated with the subject user; identifying candidate users; calculating media preference overlap scores with respect to the subject user and each candidate user; ranking the candidate user according to their media preference overlap scores, and generating recommendations for the subject user from the historical usage data associated with the candidate users.
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MEDIA PREFERENCE AFFINITY RECOMMENDATION SYSTEMS AND METHODS GRAPH-BASED MUSIC RECOMMENDATION USING MACHINE LEARNING
Issued US 15217828
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GRAPH-BASED MUSIC RECOMMENDATION AND DYNAMIC MEDIA WORK MICRO-LICENSING SYSTEMS AND METHODS
Issued US 2017/0161273 A1
Predicting user preferences with regard to digital media being presented on computing devices using Machine Learning and deep learning .
It also enumerates on the consumption of media using alternative payment methods. i.e micro payments in form of currency or bitcoin.Other inventorsSee patent
Organizations
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Cardiff Business School
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IEEE
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Project Management Institute
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Recommendations received
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